Landslides Susceptibility Assessment Based on GIS Statistical Bivariate Analysis in the Hills Surrounding a Metropolitan Area

Paul Sestraș, Ștefan Bilașco, Sanda Roșca, Sanda Naș, Mircea V. Bondrea, Raluca Gâlgău, Ioel Vereș, Tudor Sălăgean, Velibor Spalević and Sorin M. Cîmpeanu
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Paul Sestraș: Department of Terrestrial Measurement and Cadastre, Faculty of Civil Engineering, Technical University of Cluj-Napoca, 400020 Cluj-Napoca, Romania
Ștefan Bilașco: Faculty of Geography, Babeş-Bolyai University, 400006 Cluj-Napoca, Romania
Sanda Roșca: Faculty of Geography, Babeş-Bolyai University, 400006 Cluj-Napoca, Romania
Sanda Naș: Department of Terrestrial Measurement and Cadastre, Faculty of Civil Engineering, Technical University of Cluj-Napoca, 400020 Cluj-Napoca, Romania
Mircea V. Bondrea: Department of Terrestrial Measurement and Cadastre, Faculty of Civil Engineering, Technical University of Cluj-Napoca, 400020 Cluj-Napoca, Romania
Raluca Gâlgău: Department of Terrestrial Measurement and Cadastre, Faculty of Civil Engineering, Technical University of Cluj-Napoca, 400020 Cluj-Napoca, Romania
Ioel Vereș: Department of Terrestrial Measurement and Cadastre, Faculty of Civil Engineering, Technical University of Cluj-Napoca, 400020 Cluj-Napoca, Romania
Tudor Sălăgean: Faculty of Horticulture, University of Agricultural Sciences and Veterinary Medicine of Cluj-Napoca, 400372 Cluj-Napoca, Romania
Velibor Spalević: Geography Department, Faculty of Philosophy, University of Montenegro, 81400 Niksic, Montenegro
Sorin M. Cîmpeanu: Faculty of Land Reclamation and Environmental Engineering, University of Agronomic Sciences and Veterinary Medicine Bucharest, 011464 Bucharest, Romania

Sustainability, 2019, vol. 11, issue 5, 1-23

Abstract: In the highly populated analysed territory, the expansion of the construction zones and the pressure imposed on the slopes by the housing and transport infrastructure led to the appearance and reactivation of mass movement processes that affects the population and the environment. The purpose of this study consist in applying the principles of bivariate statistical analysis in order to determine the dynamic potential of a territory, taking into account the statistical relationship between the independent variables represented by predisposing and triggering factors of landslides (slope, geology, land use etc.) and dependent variables, in this case: landslides. The identification of the degree of validation of the results was determined by calculating the AUROC (Area under the Receiver Operating Characteristic) value, whose value of 0.854 highlights the representativeness of the chosen model. The analysis of landslides susceptibility highlights the inclusion of the territory represented by the hills surrounding Cluj-Napoca metropolitan area, Romania, on the classes of spatial occurrence of these processes.

Keywords: BSA (Bivariate Statistical Analysis) model; GIS (Geographic Information System) analysis; Landslide modelling; ROC (Receiver Operating Characteristic) curve (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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